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@wyybo: when rangrang is standard #wheniflytowardsyou #zhanglurang #suzaizai #cdrama #fyp
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Region: ID
Friday 17 November 2023 05:11:14 GMT
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Comments
🧷 :
I need rangrang
2023-11-17 05:26:35
2715
Gilo :
I need my own rangrang 😔
2023-11-17 10:45:46
1250
itsteffyyy :
it's been a few months but you're still not forgotten
2023-11-18 04:35:48
254
s :
solo necesito un rang rang😭😭
2023-11-17 11:24:09
443
frnsscarini :
Skrng nyari rangrang in rl ada gk sih? 😭😭 hopeless
2023-11-17 06:02:10
909
CoZhiyy :
he's the standard
2023-11-17 09:24:45
56
AJ :
WHAT'S THE NAME OF THE JELLY PLS😭😭😭😭
2024-01-07 04:53:54
23
🧸ྀི :
no talk, but act !! 🥺😤
2023-11-17 14:20:18
16
. :
rangrang gercek degil 😭
2023-12-29 22:00:58
7
MomodeladinastíaMomo :
Vos, yo y todas las personas en el mundo nos merecemos un Rang Rang
2023-11-26 22:17:56
4
are you sure, lyly?! 🪷🫧 :
preciso de um rangrang😭🙏
2023-12-24 02:02:10
6
:) :
ايششش اسمههههه ؟؟؟؟
2023-12-29 20:05:42
6
namiii :
homem dos sonhos de toda garota
2023-12-24 16:28:01
2
v :
MAUU YANG KAYAK RANGRANGG😵💫😵💫
2023-12-28 19:38:07
4
한니 :c :
ya Allah, mau jodoh yang plek ketiplek kayak rang rang 🙏🏻
2023-12-06 10:11:09
6
𑣲┆𝒹anna ˚.⋆ֹ :
Es un kdrama? porque si es así pásenme el nombre 😭
2024-01-29 15:24:14
1
minayaa_12 :
Amin dapet Rangrang dunia nyata amiiiin
2023-11-17 21:57:01
91
hehew :
klo bneran ada rang rang di rl,ak yg bkl ngejar asliiii
2024-01-12 05:43:48
52
.𖥔 ݁ 𝑺𝒕𝒆𝒍𝒍 ˖˚. ᵎᵎ ۶ৎ :
I NEED SOMEONE LIKE RANG RANG
2024-01-06 10:09:31
4
missusm :
cho t oder 1 tln ạ🤡🙏
2024-01-01 14:30:39
2
♡ :
hidupku butuh rang-rang part 2
2024-01-01 09:02:36
2
lifeasseptember :
I want me a su zaizai too
2023-11-30 22:07:11
4
V :
Rangrang 😭❤️
2023-12-04 17:04:35
1
alinzhes :
cwo gue gini aminn
2024-01-10 10:31:26
1
To see more videos from user @wyybo, please go to the Tikwm homepage.
Other Videos
In 90 seconds, you can learn a large portion of the math behind how neural networks actually work. It is a very simplified picture, but let me show you the actual math. Every neural network has three kinds of layers: an input layer, one or more hidden layers, and an output layer. Each layer is made of neurons (the dots), connected by edges. Every edge carries its own weight: a single number. Your word or text input goes through a transformation into number form to enter the AI model. That transformation is called an embedding. In real models an embedding can be hundreds of numbers long; here I will use just two. Say the input is 5 and 2. Now give each edge a weight. To reach one neuron in the hidden layer, two edges feed into it: one with weight 10, one with weight 2. The neuron's value is 5 x 10 + 2 x 2, which is 50 + 4, so 54 (remember PEMDAS, my friends). The neuron beside it has its own edges, say weights 20 and 4. Its value is 5 x 20 + 2 x 4, which is 100 + 8, so 108. Multiply each input by the weight on its edge, add the results, and pass the number forward. Do it again for the next layer, and the next. Basically every generative AI model you use runs on this. One thing we are missing here: the nonlinear functions. They are crucial to neural networks, and I can make another video on those. The output layer also works a little differently from the hidden layers, and I will cover that in Part 2. I can also break down how these weights are actually learned, through backpropagation. If any of that interests you, or if I can do better somehow, let me know in the comments. Welcome!! I'm Harper. I've spent a decade building AI as a Stanford computer scientist, and now I hope to share the intuition I've developed with you. For a complete AI basics walkthrough, check out the link in my bio for my (free) video walkthrough guide.
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